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, or similar evidence. About the role: AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in
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intelligence throughout the scientific process. During the initial phase of the project, the researcher will spend significant time on-site at Stanford University working with the Schnitzer Lab to learn and
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of 3 years post-PhD experience (academic, core facility, or industry). Minimum of 3 years of experience working in the areas of image acquisition, image processing, and computer-assisted image analysis
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adept at computer programming, has a strong command of statistical data analysis and data visualization, who will work as a Computational Biologist. As a Ph.D. Data Scientist, you will join a dynamic team
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evolution of protein biosensors for visualizing dynamic biochemical processes in living cells. We are seeking a highly skilled AI Software Engineer to join our team and play a crucial role in advancing our AI
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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pipeline management tools developed in Scientific Computing Software. Guide and centralize production and support the execution of data-sharing plans, including when, where, and how data will be shared with